Feature number	Description
$f_{15}=\underset{i,j}{max}p(i,j)$	15. Maximum probability.
$f_{16}=\underset{i,j}{\text{median}}p(i,j)$	16. Median probability.
$f_{17}=\underset{i,j}{\text{quartermedian}}p(i,j)$	17. First quartile probability
$f_{18}=\underset{i,j}{\text{threequartermedian}}p(i,j)$	18. Third quartile probability
$f_{19}=\frac{{\displaystyle \sum _{i=1}^{N_g}}{\displaystyle \sum _{j=1}^{N_g}}{\{p(i,j)\}}^2}{{N_g}^2}-{\left(\frac{{\displaystyle \sum _{i=1}^{N_g}}{\displaystyle \sum _{j=1}^{N_g}}p(i,j)}{{N_g}^2}\right)}^2$	19. Deviation of probability.
$f_{20}={\displaystyle \sum _{i=1}^{N_g}}{\displaystyle \sum _{j=1}^{N_g}}(i\ast j)p(i,j)$	20. Autocorrelation.
$f_{21}={\displaystyle \sum _{i=1}^{N_g}}{\displaystyle \sum _{j=1}^{N_g}}(i+j-{\mu }_x-{\mu }_y)p(i,j)$	21. Cluster average.
$f_{22}={\displaystyle \sum _{i=1}^{N_g}}{\displaystyle \sum _{j=1}^{N_g}}{(i+j-{\mu }_x-{\mu }_y)}^{2}p(i,j)$	22. Cluster variance.
$f_{23}={\displaystyle \sum _{i=1}^{N_g}}{\displaystyle \sum _{j=1}^{N_g}}{(i+j-{\mu }_x-{\mu }_y)}^{3}p(i,j)$	23. Cluster shade.
$f_{24}={\displaystyle \sum _{i=1}^{N_g}}{\displaystyle \sum _{j=1}^{N_g}}{(i+j-{\mu }_x-{\mu }_y)}^{4}p(i,j)$	24. Cluster prominence.
$f_{25}={\displaystyle \sum _{i=1}^{N_g}}{\displaystyle \sum _{j=1}^{N_g}}\mid i-j\mid p(i,j)$	25.Dissimilarity.
$f_{26}=\frac{p(i,j)}{1+\mid i-j\mid /N_g}$	26. Inverse difference.
$f_{27}=\frac{p(i,j)}{1+\mid i-j\mid }$	27.Homogeneity II.
$f_{28}=\frac{\mathit{HXY}-\mathit{HXY}2}{max\{HX,HY\}}$	28. Information measures of correlation III.
$f_{29}={(1-exp\left[-2.0(\mathit{HXY}1-\mathit{HXY})\right])}^{\frac{1}{2}}$	29. Information measures of correlation IV.
$f_{30}={\displaystyle \sum _{i=0}^{N_g-1}}i{p}_{x-y}(i)$	30. Difference average.